The behaviour of poker players and sports gamblers has been shown to change after winning or losing a significant amount. Of money on a single hand. In this paper we explore, whether there are changes in experts behaviour when performing judgmental. ' Adjustments to statistical forecasts and in particular, examine the, impact of 'big losses'. We define a big loss as a judgmental. Adjustment that significantly decreases the forecasting accuracy compared to the baseline statistical forecast. In, essence. Big losses are directly linked with wrong direction or highly overshooting judgmental overrides. Using relevant behavioural. Theories we empirically, examine the effect of such big losses on subsequent judgmental adjustments exploiting a large multinational. Data set containing statistical forecasts of demand for pharmaceutical products expert adjustments, and actual sales. We. Then discuss the implications of our findings for the effective design of forecasting, support systems focusing on the aspects. Of guidance and restrictiveness.
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